code: def _dot_product(x, y):
      return sum(xi * yi for xi, yi in zip(x, y))
  
file_path: torchdiffeq/torchdiffeq/_impl/fixed_adams.py
imports: import collections
  import sys
  import torch
  import warnings
  from .solvers import FixedGridODESolver
  from .misc import _compute_error_ratio, _linf_norm
  from .misc import Perturb
  from .rk_common import rk4_alt_step_func
label_desc: Use image node_id 1 for calling a global function with example usage: _dot_product(x, y) and returns: sum